DocumentCode
1731594
Title
Social network link predict based on AF model
Author
Chang, Cheng ; Yao, Xiying
Author_Institution
Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
Volume
1
fYear
2011
Firstpage
415
Lastpage
418
Abstract
With the development of the Internet, social network has deeply rooted. People could construct more widely contact through social network. At the same time, social network analysis has made in-depth development; it has been widely used in modern sociology, anthropology, economics, and biology area. In social network, everyone has his wish to expand his circle of communication. But their energy of digging the potential friends by themselves is limited, so the link prediction which is one of sub-tasks of social network analysis becomes increasingly important. This article uses the AF model for link prediction to social network, Verify the correctness and validity of the method through the experiment on Enron´s e-mail data collection.
Keywords
Internet; data mining; social networking (online); AF model; Internet; e-mail data collection; link mining; social network analysis; social network link prediction; Finance; AF Model; Link Predict; data mining; social network;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4577-1586-0
Type
conf
DOI
10.1109/ICCSNT.2011.6181988
Filename
6181988
Link To Document